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Method for positioning bone and joint in human finger-vein image

A finger vein and positioning method technology, applied in the field of identity recognition, can solve problems such as the inability to obtain the position of bone joints stably, and achieve the effect of improving stability, recognition accuracy, and accurate and stable positioning

Inactive Publication Date: 2016-04-20
SOUTHERN MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the influence of factors such as finger rotation, uneven illumination, and ambient light when collecting finger vein images, the maximum gray value may not be located at the bone joint position.
Neither of these two methods can stably obtain the correct bone joint position

Method used

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  • Method for positioning bone and joint in human finger-vein image
  • Method for positioning bone and joint in human finger-vein image
  • Method for positioning bone and joint in human finger-vein image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] (1) First normalize the collected finger vein images into a 128×320 coordinate system,

[0036] (2) Establish a double sliding window model

[0037] The height (in the vertical direction, denoted by i) of two sliding windows (marked as W1 and W2) is set to h, and the width (in the horizontal direction, denoted by j) is set to w, such as image 3 shown. Two sliding windows and positioning lines l p (called the double sliding window model) slides along the j direction at the same time, and the i direction remains unchanged. Let W1j and W2j be the sliding matrices of double sliding windows W1 and W2 respectively, then the sliding matrix is ​​expressed as:

[0038] W 1j (x,y)=I[(1:h),(j:j+w)], j∈[1,320-2w-b](1)

[0039] W 2j (x,y)=I[(1:h),(w+b:j+w)],j∈[w+b,320-w](2)

[0040] Among them, j is also the sliding range in the horizontal direction of the sliding window, and the sliding range refers to the movement of the double sliding window model from the leftmost end to...

Embodiment 2

[0053] For finger vein images collected by the same finger of the same person at different times, in order to ensure that the extracted region of interest (ROI) has good consistency as much as possible, the design of the region of interest (ROI) of the finger vein image provided in this embodiment The determination method, the setting conforms to the range determined based on the position of the bone joint:

[0054] Let I ROI Represents the region of interest (ROI) of the finger vein image, represented by the bone joint position I p =I(i,l p ), i=1,2,...,128 as the benchmark, in the normalized image, take (i=1,2,...,128; j=l p -160) is its left boundary line, take (i=1,2,...,128; j=l p +49) is its right boundary line, and the ROI area is obtained as Figure 4 shown, denoted as I ROI , and I ROI =I(i,j),(i=1,2,...,128; j=l p -160,l p -159,...,l p -1,l p , l p +1,...,l p +49).

[0055] The method for setting the region of interest (ROI) of the finger vein image prov...

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Abstract

The invention discloses a method for positioning bone and joint in a human finger-vein image, the human finger-vein image can be collected and normalized in a coordinate system, and a double sliding windows model can be used for positioning the bone and joint position in the vein image. The method comprises the following steps: (1) making a double sliding windows model, (2) summing gray values of each pixel of the double sliding window, (3) and finding a minimum value in the sliding process, that is, finding the bone and joint position. According to the invention, the bone and joint precision position can be realized in the vein image with / without light interference, and a better recognition effect can be obtained with light interference.

Description

technical field [0001] The invention relates to an identification technology, in particular to a method for locating bones and joints in human finger vein images. Background technique [0002] Finger vein recognition is an identification technology that relies on the physiological characteristics of living organisms. Compared with traditional identification technology, biometric identification is more specific and difficult to imitate. Among them, finger veins are widely used for their high recognition accuracy, not easy to counterfeit, convenient to use and low cost. [0003] Because the finger vein is located under the subcutaneous fat tissue of the finger, it cannot be imaged well under visible light, but if the finger is irradiated with near-infrared (NIR) light (700-1100nm) as the light source, the blood circulating in the finger vein contains a large amount of hemoglobin, Compared with other subcutaneous tissues, it can absorb more near-infrared radiation, so the col...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06T7/00
CPCG06T2207/30008G06T2207/30101G06V40/10G06V40/14G06V10/25
Inventor 刘娅琴邱世荣黄靖杨丰
Owner SOUTHERN MEDICAL UNIVERSITY
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